package com.cloud.utils;

import com.alibaba.ttl.threadpool.TtlExecutors;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.AsyncConfigurer;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

import java.util.concurrent.Executor;
import java.util.concurrent.ThreadPoolExecutor;

@Configuration
public class ThreadPoolConfig implements AsyncConfigurer {

    @Value("${center.trade.executor.core-pool-size:32}")
    private Integer corePoolSize;

    @Value("${center.trade.executor.max-pool-size:64}")
    private Integer maxPoolSize;

    @Value("${center.trade.executor.queue-capacitye:256}")
    private Integer queueCapacity;

    @Bean("taskExecutor")
    public Executor taskExecutor() {

        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        // 设置核心线程数
        executor.setCorePoolSize(corePoolSize);
        // 设置最大线程数
        executor.setMaxPoolSize(maxPoolSize);
        // 设置队列容量
        executor.setQueueCapacity(queueCapacity);
        // 设置线程活跃时间（秒）
        executor.setKeepAliveSeconds(60);
        // 设置默认线程名称
        executor.setThreadNamePrefix("TradeCenter-TaskExecutor-");
        // 设置拒绝策略
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
        // 等待所有任务结束后再关闭线程池
        executor.setWaitForTasksToCompleteOnShutdown(true);

        executor.initialize();
        return TtlExecutors.getTtlExecutor(executor);
    }
}
